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Design and Implementation of Data Analysis Components
| Title: | Design and Implementation of Data Analysis Components |
| Author: | Shiao, Grace |
| Description: | This thesis describes the design and implementation of the data analysis components. Many features of modern database systems facilitate the decision-making process. Recently, Online Analytical Processing (OLAP) and data mining are increasingly being used in a wide range of applications. OLAP allows users to analyze data from a wide variety of viewpoints. Data mining is the process of selecting, exploring, and modeling large amounts of data to discover previously unknown patterns for business advantage. Microsoft® SQL server™ 2000 Analysis Services provides a rich set of tools to create and to maintain OLAP and data mining objects. In order to use these tools, users need to fully understand the underlying architectures and the specialized technological terms, which are not related to the data analysis. The complexities in the development challenges prevent the data analysts to use these tools effectively. In this work, we developed several components, which can be used as the foundation in the analytical applications. Using these components in the software applications can hide the technical complexities and can provide tools to build the OLAP and mining model and to access data information from these model systems. Developers can also reuse these components without coding from scratch. The reusability of these components enhances the application’s reliability and reduces the development costs and time. |
| Permanent Link: |
http://rave.ohiolink.edu/etdc/view?acc_num=akron1143652311
http://hdl.handle.net/2374.OX/3392 |
| Date: | 2006 |
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